In the vast galaxy of artificial intelligence (AI), the evolution of AI at the edge stands out as the most dazzling and groundbreaking frontier. It leads us from traditional machine vision to a new stage of perceptual AI and enhanced AI. The continuous evolution of edge AI allows intelligent systems to deeply integrate into daily life, bringing infinite possibilities from perception to creation for smart cockpits and in-vehicle infotainment (IVI), reshaping the smart cockpit experience.
As a pioneer in edge generative AI (GenAI), Hailo has always been at the forefront of this field. Its high-performance, low-power edge AI accelerator greatly expands the boundaries of edge AI applications, opening up broader imaginative spaces for smart cockpit and IVI experiences.
Generative AI:
From Cognition to Creation
In the development history of artificial intelligence, the evolution from perception to enhanced AI is a remarkable technological revolution. From the initial machine vision that allowed computers to perceive the visual world, to AI video analysis that grants machines the ability to understand objects and scenes, and then to tasks like object detection and instance segmentation that surpass human performance, successfully applied in fields like surveillance, each advancement propels the development of intelligent applications.
As our understanding of neural network computation theory deepens, visual applications are no longer limited to information retrieval and extraction. By utilizing semantic understanding of the physical properties of scenes, neural networks can enhance image visual quality, achieving a transition from classic visual functions to AI-driven video enhancement functions, making visual data clearer, more detailed, and reliable; this is “enhanced AI.”
However, the real paradigm shift occurred with the rise of generative AI. Inspired by advancements in natural language understanding and its application across various data modalities, in less than a year, generative AI has changed the entire industry with its ability to create new content, images, and videos that are indistinguishable from reality.
In the era of generative AI, the ability of machines to generate content at a level close to human capability opens up infinite imaginative spaces for in-vehicle applications. It not only meets the needs for personalized driving experiences, natural language interaction, and real-time scene generation, reshaping human-machine interaction patterns, but also brings many surprises to smart cockpits.
Edge Generative AI:
Opening New Experiences in In-Vehicle Intelligence
Edge computing, with its real-time response and low-latency interaction advantages, has become the ideal choice for in-vehicle applications. It can be used offline without relying on the network, effectively ensuring functional stability; at the same time, processing data locally reduces cloud transmission, strengthening privacy protection. In the automotive field, natural voice control encompasses various aspects such as infotainment, navigation, and vehicle maintenance; personalized recommendations can accurately match music, routes, and driving mode needs; multimodal interaction integrates voice, visuals, and generative content, providing a rich experience for drivers and passengers.
Generative AI further enhances the interaction experience between passengers and the vehicle, making free text and conversational interactions safer, more comfortable, and entertaining, precisely aligning with driver preferences to achieve a personalized driving experience.
When generative AI technology meets edge computing, it gives birth to the innovative result of edge generative AI. For IVI, the advantages of running generative AI locally on the ECU are fully realized.
Local generative AI functions allow for immediate and personalized interaction between the car and people, with interactive interfaces that can quickly respond to queries and requests. Even in areas with poor or no network, it can still operate stably, providing critical assistance. Moreover, by storing user data and driving habits within the vehicle, it reduces cloud information transmission, effectively addressing privacy protection issues.
Generative AI running at the edge, with the help of natural voice control, can assist drivers and passengers in easily operating infotainment and navigation, and even vehicle repair and maintenance systems, allowing drivers to say goodbye to cumbersome menus and enjoy a convenient and intelligent driving experience.
In the smart cockpit, edge generative AI can create a personalized atmosphere in real-time based on passenger preferences and moods, providing entertainment content; through natural language interaction, it accurately understands commands and provides thoughtful services; it can also generate realistic scenes by combining road conditions and environments, enhancing driving enjoyment and safety assurance.
By utilizing low-power vehicle cameras and sensors to achieve a sentinel mode, it records surrounding events when the vehicle is parked and locked, effectively preventing vehicle damage. The in-car monitoring function is also practical, reminding owners to check for forgotten children, bags, or monitoring pets when the car is parked. Empowering these practical functions, generative AI is leading us into a new intelligent era.
Hailo Generative AI:
Empowering the Automotive Market with Generative AI
In the field of edge generative AI, the Hailo-10H AI accelerator stands out with its low cost, low energy consumption, and high performance. It employs a unique, powerful, and scalable architecture that drives a data flow architecture, deeply aligning with the core characteristics of neural networks, allowing edge devices to achieve both efficiency and effectiveness when running deep learning applications, significantly reducing costs and bringing a new breakthrough to edge AI development.
The Hailo-10H AI accelerator boasts exceptional performance, with a computing power of 40 TOPS, and its cost-effectiveness far exceeds that of other edge AI processors, setting a new benchmark for edge AI accelerator performance. Its applications focus on personal computers and automotive IVI, aiming to empower the previous generation of CPUs and provide high-quality AI functions for mid-range vehicles with low-cost, high-performance solutions.
Compared to mainstream solutions, the Hailo-10H AI accelerator leads its peers by an order of magnitude in chip area and energy efficiency. It can achieve efficient and economical generative AI at the edge, rivaling the performance of integrated neural processing unit (NPU) solutions while demonstrating superior cost-effectiveness and lower power consumption. For example, with Intel’s Core Ultra NPU, the Hailo-10H halves the power consumption (<3.5W) while at least doubling the performance, showcasing its strong capabilities.
As an independent architecture solution, the Hailo-10H AI does not rely on cockpit SoC resources, ensuring efficient execution of inference and GenAI functions, while the cockpit and infotainment functions run smoothly without interference.
Unlike high-end cockpit SoCs with expensive, integrated NPUs, Hailo’s generative AI accelerator can work in conjunction with entry-level cockpit SoCs. This combination allows intelligent systems to enjoy the advantages of affordability, high cost-effectiveness, and low power consumption, making local generative AI no longer exclusive to high-end models; Hailo is making these technologies accessible, allowing mid-range and mass-market vehicles to easily incorporate them and enjoy comparable intelligent experiences.
The Hailo-10H has four key values: cost-effectiveness, eliminating the high monthly fees of multiple cloud-based generative AI tools; fast response, with local processing reducing latency and enhancing user experience; high availability ensuring continued access to essential tools and services even with limited or no internet connection; privacy security is guaranteed, reducing the risk of personal and sensitive data transmission to the cloud.
The Hailo-10H uses a standard M.2 form factor generative AI acceleration module, which can be inserted into existing PCs and edge devices with M.2 sockets, executing deep neural network inference in real-time with minimal CPU/GPU load and low power consumption, widely applicable and helping to shorten time to market. Its scalable module can handle multiple models simultaneously, and its powerful software suite supports advanced deep learning models and generative AI applications, achieving real-time, low-latency, efficient AI inference for edge devices like PCs and smart cars. Additionally, Hailo provides rich ecosystem support to help users quickly get started and unlock new intelligent experiences.
Edge Generative AI Opens a New Era of In-Vehicle Intelligence
In the era of edge generative AI, Hailo’s edge generative AI is leading in-vehicle intelligence to new heights. The Hailo-10H AI accelerator, with its unique advantages of low cost and high performance, comprehensively leads in computing power, energy efficiency, and cost-effectiveness, bringing new possibilities to personal computers and automotive IVI systems.
As the wave of automotive intelligence advances, Hailo’s generative AI will continue to exert its influence, assisting in the continuous upgrade of smart cockpits and IVI, allowing advanced safety features and intelligent interactions to benefit a wider range of vehicle models. Hailo’s generative AI technology will inject new vitality into the automotive industry, leading us towards a smarter, safer, and more convenient future of travel.
– End –
Welcome to join the smart transportation technology group! Scan to enter.
Click to read the original text at the end of the article, to obtain methods for downloading materials.
Contact: WeChat ID 18515441838